University of Oulu

Yuuki Nishiyama, Anind K. Dey, Denzil Ferreira, Takuro Yonezawa, and Jin Nakazawa. 2018. Senbay: a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '18). ACM, New York, NY, USA, 291-291. DOI: https://doi.org/10.1145/3236112.3236154

Senbay : a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream

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Author: Nishiyama, Yuuki1; Dey, Anind K.2; Ferreira, Denzil3;
Organizations: 1University of Oulu 90570 Oulu, Finland
2University of Washington
3University of Oulu, 90570 Oulu, Finland
4Keio University, Endo 5322, Fujisawa, Kanagawa, Japan
Format: abstract
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 11.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019050614427
Language: English
Published: Association for Computing Machinery, 2018
Publish Date: 2019-05-06
Description:

Abstract

The spread of smartphones allows us to freely capture video and diverse hardware sensors’ data (e.g., accel erometer, gyroscope). While recording such data is relatively simple, it is often challenging to share and restream this data to other people and applications. Such capability is very valuable for a range of applications such as a context-aware prototyping/developing platform, an integrated data recording and analysis tool, and a sensor-data based video editing system. To enable such complex operations, we propose Senbay, a platform for instant sensing, integrating, and restreaming multiple-sensor data streams. The platform embeds collected sensor data into a video frame using an animated two-dimensional barcode via real-time video processing. The video-embedded sensor data, dubbed Senbay Video, can be easily restreamed to other people and reused by data rich, context-aware applications.

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ISBN Print: 978-1-4503-5941-2
Pages: 291 - 297
DOI: 10.1145/3236112.3236154
OADOI: https://oadoi.org/10.1145/3236112.3236154
Host publication: MobileHCI '18 Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
Conference: International Conference on Human-Computer Interaction
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work is partially funded by the Academy of Finland (Grants 286386-CPDSS, 285459-iSCIENCE, 304925-CARE, 313224-STOP), Marie Skłodowska Curie Actions (645706-GRAGE), and Keio University Research Grant for Young Researcher’s Program.
EU Grant Number: (645706) GRAGE - Grey and green in Europe: elderly living in urban areas
Academy of Finland Grant Number: 286386
285459
304925
313224
Detailed Information: 286386 (Academy of Finland Funding decision)
285459 (Academy of Finland Funding decision)
304925 (Academy of Finland Funding decision)
313224 (Academy of Finland Funding decision)
Copyright information: © Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MobileHCI '18 Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, http://dx.doi.org/10.1145/3236112.3236154.